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Articles by Max Little
Mathematics > Statistics Theory
Exact Euclidean \(K\)-means partitions \(n\) observations into \(K\) unlabelled clusters, but the unrestricted search is generally exponential. We use data-derived geometric graphs to precondition an exact subset dynamic program: as a result only connected vertex subsets are admitted as clusters, while sum-of-squared-errors (SSE) loss is unchanged.
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
EKM: An exact, polynomial-time algorithm for the $K$-medoids problem
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2403.09580] Algorithmic syntactic causal identification
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Surgical training in the UK: is cost a barrier to entry?
Surgical training in the UK: is cost a barrier to entry?
Statistical machine learning
Chapter: (p.149) 6 Statistical machine learningSource: Machine Learning for Signal ProcessingAuthor(s): Max A. Little Publisher: Oxford University Press DOI:10.1093/oso/9780198714934.003.0006 This chapter describes in detail how the main techniques of statistical machine learning can be constructed from the components described in earlier chapters.
Foundation in Focus: Lecture series gave students 'valuable experience' with Axelrod, Christie
The New Albany Community Foundation is holding its eighth season of the New Albany Lecture Series – an array of programs featuring prominent leaders in such fields as politics, global affairs and education. On Jan. 27, former New Jersey governor Chris Christie and political adviser and CNN correspondent David Axelrod engaged in a presentation for the New Albany Center for Civil Discourse and Debate, a subset of the lecture series.
Surgical training in the UK: is cost a barrier to entry?
Surgical training in the UK: is cost a barrier to entry?
Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates - Nature Communications
Abstract Sleep is an essential state of decreased activity and alertness but molecular factors regulating sleep duration remain unknown. Through genome-wide association analysis in 446,118 adults of European ancestry from the UK Biobank, we identify 78 loci for self-reported habitual sleep duration (p < 5 × 10−8; 43 loci at p < 6 × 10−9). Replication is observed for PAX8, VRK2, and FBXL12/UBL5/PIN1 loci in the CHARGE study (n = 47,180; p < 6.3 × 10−4), and 55 signals show sign-concordant effects.
Adversarial attacks on modern speech-to-text
In a post on this blog recently Mark Liberman raised the lively area of so-called "adversarial" attacks for modern machine learning systems. These attacks can do amusing and somewhat frightening things such as force an object recognition algorithm to identify all images as toasters with remarkably high confidence. Seeing these applied to image recognition, he hypothesized they could also be applied to modern speech recognition (STT, or speech-to-text) based on e.g. deep learning.
A test for Parkinson's with a phone call
Parkinson's disease affects 6.3 million people worldwide, causing weakness and tremors, but there's no objective way to detect it early on. Yet. Applied mathematician and TED Fellow Max Little is testing a simple, cheap tool that in trials is able to detect Parkinson's with 99 percent accuracy — in a 30-second phone call. Max Little is a mathematician whose research includes a breakthrough technique to monitor – and potentially screen for – Parkinson's disease through simple voice recordings.
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